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import gradio as gr
from transformers import pipeline
# Load a general text generation model
generator = pipeline("text-generation", model="bigscience/bloom-560m")
def answer_med_question(question):
# Generate answer
result = generator(question, max_length=200, do_sample=True)
return result[0]['generated_text']
demo = gr.Interface(
fn=answer_med_question,
inputs=gr.Textbox(label="Ask your medical question"),
outputs=gr.Textbox(label="AI Answer")
)
demo.launch() |